Impulse oscillometry assessment of respiratory function in pediatric patients with a history of COVID-19.

OBJECTIVE: While coronavirus disease 2019 (COVID-19) is generally considered to exhibit a less severe clinical course in children than in adults, studies have demonstrated that respiratory symptoms can endure for more than 3 months following infection in at least one-third of pediatric cases. The present study evaluates the respiratory functions of children aged 3-15 years within 3-6 months of their recovery from COVID-19 using impulse oscillometry (IOS) and compares them with the values of healthy children. METHODS: Included in this prospective cross-sectional study were 63 patients (patient group) aged 3-15 years who contracted COVID-19 between December 2021 and May 2022, as well as 57 healthy children as a control group, matched for age and sex. The demographic, clinical, and laboratory data of the patients were recorded, and respiratory function was assessed based on airway resistance (zR5, zR20, R5-20) and reactance (zX5, zX20, reactance area [AX], resonant frequency [Fres]) using an IOS device. RESULTS: There were no significant differences in the age, weight, height, and body weight z score values of the two groups (p > .05). While the zR5 and R5-20 levels of the patient group were higher (p = .008 and p < .001, respectively) than those of the controls, the zR20, AX, and Fres values did not differ significantly between the groups (p > .05). The parameters indicating the reactance, including zX5 and zX20, were significantly lower in the patient group than in the control group (p = .028 and p < .001, respectively). CONCLUSION: Total and peripheral airway resistances were found to be elevated in children who had recovered from COVID-19 in the preceding 3-6 months.

Development and validation of a hybrid deep learning-machine learning approach for severity assessment of COVID-19 and other pneumonias.

The Coronavirus Disease 2019 (COVID-19) is transitioning into the endemic phase. Nonetheless, it is crucial to remain mindful that pandemics related to infectious respiratory diseases (IRDs) can emerge unpredictably. Therefore, we aimed to develop and validate a severity assessment model for IRDs, including COVID-19, influenza, and novel influenza, using CT images on a multi-centre data set. Of the 805 COVID-19 patients collected from a single centre, 649 were used for training and 156 were used for internal validation (D1). Additionally, three external validation sets were obtained from 7 cohorts: 1138 patients with COVID-19 (D2), and 233 patients with influenza and novel influenza (D3). A hybrid model, referred to as Hybrid-DDM, was constructed by combining two deep learning models and a machine learning model. Across datasets D1, D2, and D3, the Hybrid-DDM exhibited significantly improved performance compared to the baseline model. The areas under the receiver operating curves (AUCs) were 0.830 versus 0.767 (p = 0.036) in D1, 0.801 versus 0.753 (p < 0.001) in D2, and 0.774 versus 0.668 (p < 0.001) in D3. This study indicates that the Hybrid-DDM model, trained using COVID-19 patient data, is effective and can also be applicable to patients with other types of viral pneumonia.

Psicologia, Conselho Federal de Psicologia e covid-19: enfrentamento às desigualdades psicossociais no Brasil / Psychology, FCP, and covid-19: facing the psychosocial inequalities in Brazil / Psicología, Consejo Federal de Psicología y covid-19: enfrentando las desigualdades psicosociales en Brasil

A pandemia da covid-19 impôs transformações no cotidiano mundial, em âmbito micro e macroestrutural. Seu impacto psicológico desestabiliza e evidencia desigualdades e vulnerabilidades psicossociais brasileiras. Configura-se como um estudo de perspectiva crítica, com base na Psicologia Sócio-histórica, com o objetivo de mapear os posicionamentos da Psicologia, vindos de diferentes campos, diante das ações de saúde mental. Para tanto, utiliza-se o site do Conselho Federal de Psicologia para a análise de 62 documentos, que resultaram em dois eixos de produção crítica: 1) a relação da Psicologia com o Conselho Federal de Psicologia; e 2) da Psicologia com a sociedade. Revela-se o abismo social entre segmentos da sociedade brasileira; formas de exclusão da população carcerária; violência doméstica contra as mulheres e as crianças; dificuldades de acesso a estratégias sociais, na educação e na saúde, e de superação dos impasses acirrados com a infecção global pelo novo coronavírus. Conclui-se que a diversidade de públicos, temáticas, áreas de atuação e referenciais teóricos materializa um compromisso crítico e científico da Psicologia.(AU)

The COVID-19 pandemic imposed transformations in the world daily life, at the micro and macrostructural levels. Its psychological impact destabilizes and highlights Brazilian inequalities and psychosocial vulnerabilities. This is a critical perspective study, based in socio-historical Psychology, aiming to map the positions of Psychology, from different fields, in the face of mental health actions. To this end, the Federal Council of Psychology website is utilized to analyze 62 documents, which resulted in two axes of critical production: 1) the relation between Psychology and the Federal Council of Psychology; and 2) Psychology with society. They reveal the social gap between segments of Brazilian society; ways of excluding prison po7pulation; domestic violence against women and children; and difficulties in accessing social strategies, in education and health, and in overcoming impasses aggravated by the global infection by the new coronavirus. In conclusion, the diversity of public, themes, areas of professional performance, and theoretical references materialize Psychology's critical and scientific commitment.(AU)

La pandemia del COVID-19 provocó transformaciones globales en lo cotidiano a nivel micro y macroestructural. Su impacto psicológico desestabiliza y destaca las desigualdades y vulnerabilidades psicosociales en Brasil. Esta es una investigación en la perspectiva crítica, basada en la psicología sociohistórica, con el objetivo de mapear las posiciones de la Psicología, procedentes de diferentes campos, frente a las acciones de salud mental. Para este fin, se utiliza el sitio web del Consejo Federal de Psicología para el análisis de 62 documentos, lo que resultó en dos ejes de producción crítica: 1) la relación de la Psicología con el Consejo Federal de Psicología; y 2) de la Psicología con la sociedad. Se revelan la brecha social entre los segmentos de la sociedad brasileña; las formas de exclusión de la población carcelaria; la violencia doméstica contra las mujeres y los niños; y las dificultades para acceder a las estrategias sociales, en la educación y la salud, para superar los impasses agravados por la infección global por el nuevo coronavirus. Se concluye que la diversidad de públicos, temáticas, áreas de actividad y referentes teóricos materializa un compromiso crítico y científico de la Psicología.(AU)

Caracterización demográfica y clínica de pacientes críticos con neumonía por influenza A H1N1 / Demographic and clinical characterization of critically ill patients with influenza A H1N1 pneumonia

INTRODUCCIÓN. La epidemia de influenza y sus complicaciones profundizaron el estudio de las neumonías virales en cuidados intensivos. En nuestro país hay pocos datos sobre este tema. OBJETIVOS. Realizar una caracterización demográfica y clínica de pacientes críticos con neumonía por Influenza A H1N1 en un hospital de tercer nivel de complejidad. MATERIALES Y MÉTODOS. Estudio observacional, analítico, retrospectivo, con análisis univariante y multivariante. Población de 293 y muestra de 44 datos de historias clínicas electrónicas de pacientes diagnosticados con A H1N1 ingresados a la Unidad de cuidados intensivos del Hospital de Especialidades Carlos Andrade Marín en el período enero 2016 a diciembre de 2018. Como criterios de inclusión se consideró a todos los pacientes adultos mayores de 18 años que ingresaron a la UCI, con el diagnóstico de neumonía comunitaria grave con confirmación por reacción de cadena de polimerasa en tiempo real para influenza A H1N1 en hisopado nasal o aspirado traqueal. Se excluyó a pacientes embarazadas con diagnóstico de influenza A H1N1, pacientes con más de 48 horas de ingreso hospitalario previo a su ingreso a UCI, pacientes con datos insuficientes en los registros. Los datos se obtuvieron del sistema AS-400. El análisis estadístico se realizó en el programa Statistical Package for Social Sciences, versión 22. El nivel de significación fue una p<0.05. RESULTADOS. La prevalencia en pacientes críticos de neumonía por influenza A H1N1 durante 2016-2018 fue de 16,72%, la mediana de edad fue de 55 años, 25% masculinos, 34% obesos, 34% con hipertensión arterial. Escala "Acute Physiology and Chronic Health Evaluation II" 23,50, "Simplified Acute Physiologic Score III" 54, "Sepsis related Organ Failure Assessment" 11,50, Lactato deshidrogenasa 99,50, Procalcitonina 0,99; 9 días de ventilación mecánica invasiva, 10,50 días de estancia en la unidad. El 91% presentó shock séptico, 59% lesión renal aguda. El 89% tuvo Síndrome de Distrés Respiratorio del Adultos, 69% fue grave, 87% usó ventilación mecánica, 38,50% corticoides, 36% posición prona, Presión parcial de oxígeno/Fracción inspirada de oxígeno 74, volumen tidal/kilogramo de 7 mililitros, presión plateau de 27,50 centímetros de agua. La mortalidad general en la Unidad de Cuidados Intensivos fue de 38,63% y a los 28 días de 63,60%, en shock séptico fue 42,50% y en Síndrome de Distrés Respiratorio del Adultos del 41,02%. El análisis de regresión logística multivariable identificó como factores independientes asociados a mortalidad el incremento de Lactato deshidrogenasa (OR 2,69, 9% IC 1,090-6,642) y Procalcitonina (OR 2,51, IC 1,005-6,272). CONCLUSIONES. Las características, frecuencia y mortalidad de este grupo de pacientes críticos con neumonía por influenza A H1N1 son similares a lo reportado en la literatura mundial.

INTRODUCTION. The influenza epidemic and its complications deepened the study of viral pneumonias in intensive care. In our country there is little data on this subject. OBJECTIVES. To perform a demographic and clinical characterization of critical patients with pneumonia due to pneumonia due to Influenza A H1N1 in a third level hospital. MATERIALS AND METHODS. Observational, analytical, retrospective study, with univariate and multivariate analysis. We compared the groups of dead patients and survivors. The significance level was p<0,05. RESULTS. The prevalence in critically ill patients of influenza A H1N1 pneumonia during 2016-2018 was 16,72%, 44 cases were collected, median age 55 years, 25% male, 34% obese, 34% with arterial hypertension. APACHE II 23,50, SAPS III 54, SOFA 11,50, LDH 99,50, PCT 0,99, 9 days of invasive mechanical ventilation, 10,50 days of unit stay. 91% presented septic shock, 59% with acute kidney injury 89% had ARDS, 69% were severe, 87% used mechanical ventilation, 38,50% corticosteroids, 36% prone position, PaO2/FiO2 74, tidal volume/kg of 7 ml, plateau pressure of 27,50 cmH2O. Overall mortality in the ICU was 38,63% and at 28 days was 63,60%, in septic shock it was 42,50% and in Adult Respiratory Distress Syndrome it was 42,50%. was 42,50% and 41,02% in Adult Respiratory Distress Syndrome. The ultivariate logistic regression analysis identified as independent factors associated with mortality, the increase in LDH (OR 2,69, 9% CI 1,090-6,642) and PCT (OR 2,51, CI 1,005-6,272). CONCLUSIONS. The characteristics, frequency and mortality of this group of critical patients with pneumonia due to influenza A H1N1 are similar to those reported in the world literature.

Assessment of Clinical Outcomes Among Children and Adolescents Hospitalized With COVID-19 in 6 Sub-Saharan African Countries.

IMPORTANCE: Little is known about COVID-19 outcomes among children and adolescents in sub-Saharan Africa, where preexisting comorbidities are prevalent. OBJECTIVE: To assess the clinical outcomes and factors associated with outcomes among children and adolescents hospitalized with COVID-19 in 6 countries in sub-Saharan Africa. DESIGN, SETTING, AND PARTICIPANTS: This cohort study was a retrospective record review of data from 25 hospitals in the Democratic Republic of the Congo, Ghana, Kenya, Nigeria, South Africa, and Uganda from March 1 to December 31, 2020, and included 469 hospitalized patients aged 0 to 19 years with SARS-CoV-2 infection. EXPOSURES: Age, sex, preexisting comorbidities, and region of residence. MAIN OUTCOMES AND MEASURES: An ordinal primary outcome scale was used comprising 5 categories: (1) hospitalization without oxygen supplementation, (2) hospitalization with oxygen supplementation, (3) ICU admission, (4) invasive mechanical ventilation, and (5) death. The secondary outcome was length of hospital stay. RESULTS: Among 469 hospitalized children and adolescents, the median age was 5.9 years (IQR, 1.6-11.1 years); 245 patients (52.4%) were male, and 115 (24.5%) had comorbidities. A total of 39 patients (8.3%) were from central Africa, 172 (36.7%) from eastern Africa, 208 (44.3%) from southern Africa, and 50 (10.7%) from western Africa. Eighteen patients had suspected (n = 6) or confirmed (n = 12) multisystem inflammatory syndrome in children. Thirty-nine patients (8.3%) died, including 22 of 69 patients (31.9%) who required intensive care unit admission and 4 of 18 patients (22.2%) with suspected or confirmed multisystem inflammatory syndrome in children. Among 468 patients, 418 (89.3%) were discharged, and 16 (3.4%) remained hospitalized. The likelihood of outcomes with higher vs lower severity among children younger than 1 year expressed as adjusted odds ratio (aOR) was 4.89 (95% CI, 1.44-16.61) times higher than that of adolescents aged 15 to 19 years. The presence of hypertension (aOR, 5.91; 95% CI, 1.89-18.50), chronic lung disease (aOR, 2.97; 95% CI, 1.65-5.37), or a hematological disorder (aOR, 3.10; 95% CI, 1.04-9.24) was associated with severe outcomes. Age younger than 1 year (adjusted subdistribution hazard ratio [asHR], 0.48; 95% CI, 0.27-0.87), the presence of 1 comorbidity (asHR, 0.54; 95% CI, 0.40-0.72), and the presence of 2 or more comorbidities (asHR, 0.26; 95% CI, 0.18-0.38) were associated with reduced rates of hospital discharge. CONCLUSIONS AND RELEVANCE: In this cohort study of children and adolescents hospitalized with COVID-19 in sub-Saharan Africa, high rates of morbidity and mortality were observed among infants and patients with noncommunicable disease comorbidities, suggesting that COVID-19 vaccination and therapeutic interventions are needed for young populations in this region.

Two novel human coronavirus OC43 genotypes circulating in hospitalized children with pneumonia in China.

HCoV-OC43 is one of the mildly pathogenic coronaviruses with high infection rates in common population. Here, 43 HCoV-OC43 related cases with pneumonia were reported, corresponding genomes of HCoV-OC43 were obtained. Phylogenetic analyses based on complete genome, orf1ab and spike genes revealed that two novel genotypes of HCoV-OC43 have emerged in China. Obvious recombinant events also can be detected in the analysis of the evolutionary dynamics of novel HCoV-OC43 genotypes. Estimated divergence time analysis indicated that the two novel genotypes had apparently independent evolutionary routes. Efforts should be conducted for further investigation of genomic diversity and evolution analysis of mildly pathogenic coronaviruses.

Building HMM and molecular docking analysis for the sensitive detection of anti-viral pneumonia antimicrobial peptides (AMPs).

Pneumonia is the main reason for mortality among children under five years, causing 1.6 million deaths every year; late research has exhibited that mortality is increasing in the elderly. A few biomarkers used for its diagnosis need specificity and precision, as they are related to different infections, for example, pulmonary tuberculosis and Human Immunodeficiency Virus. There is a quest for new biomarkers worldwide to diagnose the disease to defeat these previously mentioned constraints. Antimicrobial peptides (AMPs) are promising indicative specialists against infection. This research work used AMPs as biomarkers to detect viral pneumonia pathogens, for example, Respiratory syncytial virus, Influenza A and B viruses utilizing in silico technologies, such as Hidden Markov Model (HMMER). HMMER was used to distinguish putative anti-viral pneumonia AMPs against the recognized receptor proteins of Respiratory syncytial virus, Influenza A, and B viruses. The physicochemical parameters of these putative AMPs were analyzed, and their 3-D structures were determined utilizing I-TASSER. Molecular docking interaction of these AMPs against the recognized viral pneumonia proteins was carried out using the PATCHDOCK and HDock servers. The results demonstrated 27 anti-viral AMPs ranked based on their E values with significant physicochemical parameters in similarity with known experimentally approved AMPs. The AMPs additionally had a high anticipated binding potential to the pneumonia receptors of these microorganisms sensitively. The tendency of the putative anti-viral AMPs to bind pneumonia proteins showed that they would be promising applicant biomarkers to identify these viral microorganisms in the point-of-care (POC) pneumonia diagnostics. The high precision observed for the AMPs legitimizes HMM's utilization in the disease diagnostics' discovery process.

Predicting clinical outcomes in COVID-19 using radiomics on chest radiographs.

OBJECTIVES: For optimal utilization of healthcare resources, there is a critical need for early identification of COVID-19 patients at risk of poor prognosis as defined by the need for intensive unit care and mechanical ventilation. We tested the feasibility of chest X-ray (CXR)-based radiomics metrics to develop machine-learning algorithms for predicting patients with poor outcomes. METHODS: In this Institutional Review Board (IRB) approved, Health Insurance Portability and Accountability Act (HIPAA) compliant, retrospective study, we evaluated CXRs performed around the time of admission from 167 COVID-19 patients. Of the 167 patients, 68 (40.72%) required intensive care during their stay, 45 (26.95%) required intubation, and 25 (14.97%) died. Lung opacities were manually segmented using ITK-SNAP (open-source software). CaPTk (open-source software) was used to perform 2D radiomics analysis. RESULTS: Of all the algorithms considered, the AdaBoost classifier performed the best with AUC = 0.72 to predict the need for intubation, AUC = 0.71 to predict death, and AUC = 0.61 to predict the need for admission to the intensive care unit (ICU). AdaBoost had similar performance with ElasticNet in predicting the need for admission to ICU. Analysis of the key radiomic metrics that drive model prediction and performance showed the importance of first-order texture metrics compared to other radiomics panel metrics. Using a Venn-diagram analysis, two first-order texture metrics and one second-order texture metric that consistently played an important role in driving model performance in all three outcome predictions were identified. CONCLUSIONS: Considering the quantitative nature and reliability of radiomic metrics, they can be used prospectively as prognostic markers to individualize treatment plans for COVID-19 patients and also assist with healthcare resource management. ADVANCES IN KNOWLEDGE: We report on the performance of CXR-based imaging metrics extracted from RT-PCR positive COVID-19 patients at admission to develop machine-learning algorithms for predicting the need for ICU, the need for intubation, and mortality, respectively.

Managed care COVID-19 outcomes in a population health program.

OBJECTIVES: To determine (1) factors linked to hospitalizations among managed care patients (MCPs), (2) outcome improvement with use of outpatient off-label treatment, and (3) outcome comparison between MCPs and a mirror group. STUDY DESIGN: Retrospective cohort study comparing MCPs with an age- and gender-matched mirror group in Florida from April 1, 2020, to May 31, 2020. METHODS: A total of 38,193 MCPs in a Florida primary care group were monitored for COVID-19 incidence, hospitalization, and mortality. The highest-risk patients were managed by the medical group's COVID-19 Task Force. As part of a population health program, the COVID-19 Task Force contacted patients, conducted medical encounters, and tracked data including comorbidities and medical outcomes. The MCPs enrolled in the medical group were compared with a mirror group from the state of Florida. RESULTS: The mean (SD) age among the MCPs was 67.9 (15.2) years, and 60% were female. Older age and hypertension were the most important factors in predicting COVID-19. Obesity, chronic kidney disease (CKD), and congestive heart failure (CHF) were linked to higher rates of hospitalizations. Patients prescribed off-label outpatient medications had 73% lower likelihood of hospitalization (P < .05). Compared with the mirror group, MCPs had 60% lower COVID-19 mortality (P < .05). CONCLUSIONS: MCPs have risk factors similar to the general population for COVID-19 incidence and progression, including older age, hypertension, obesity, CHF, and CKD. Outpatient treatment with off-label medicines decreased hospitalizations. A comprehensive population health program decreased COVID-19 mortality.

Management of individuals with multiple chronic conditions: a continuing challenge.

Individuals with multiple chronic conditions (MCCs) represent a growing proportion of the adult population in the United States, particularly among lower-income individuals and people of color. Despite ongoing efforts to characterize this population and develop approaches for effective management, individuals with MCCs continue to contribute substantially to health care expenditures. Based on a review of recent literature, several identified barriers limit the effectiveness of care for patients with MCCs. Health care delivery system structural limitations, evidence-based care concerns, patient-clinician relationship constraints, and barriers to inclusion of patient-centered priorities may singly or in combination negatively affect outcomes for individuals with MCCs. The COVID-19 pandemic has shed further light on inequities contributing to suboptimal MCC patient management. Awareness of the prevalence and demographic attributes of patients with MCCs and the identified barriers to care may help improve patient engagement and treatment outcomes for this high-cost population. This paper provides recommendations for enhancing MCC patient care outcomes in the current and post-COVID-19 health care delivery settings.

[Early Detection of COVID-19 in Portugal: Use of Clinical Records]. / Deteção Precoce de COVID-19 em Portugal: Uso de Registos Clínicos.

INTRODUCTION: Syndromic surveillance allows early detection of changes in the population's morbidity pattern. The aim of this study is to evaluate the usefulness of indicators related to access to healthcare services, in COVID-19 surveillance. MATERIAL AND METHODS: A time series analysis was performed using the weekly incidence rate of COVID-19 in Mainland Portugal, between weeks 14/2020 (March 30 to April 5) and 25/2020 (June 15 to 21), and six indicators: 1) COVID-19 consultations in primary healthcare; 2) number of COVID-19 emergency department visits; 3) number of emergency department visits due to viral pneumonia; 4) number of hospitalizations due to viral pneumonia; 5) proportion of emergency department visits due to viral pneumonia; and 6) proportion of hospitalizations for viral pneumonia. Pearson correlation and cross-correlations were computed. RESULTS: A strong correlation was found between the weekly incidence rate of COVID-19 and all indicators. [(1) 0.76; (2) 0.82; (3) 0.77; (4) 0.84; (5) 0.86; e (6) 0.90]. Emergency department visits and hospitalizations for viral pneumonia detect variations in the frequency of the disease with a one week lag compared to the incidence rate of COVID-19, in one week. COVID-19 consultations in primary healthcare and emergency department visits trail behind the incidence rate of COVID-19, in one week. The proportion of viral pneumonias in emergency department visits, or hospitalizations, is temporally aligned with the weekly incidence rate of COVID-19. DISCUSSION: The delay found in the COVID-19 primary healthcare consultations and emergency department visits, may be related to changes in access to healthcare services and clinical coding. Emergency department visits and hospitalizations for viral pneumonia may be useful in the early detection of COVID-19. Viral pneumonia may have been coded as being of unknown origin. Future monitoring of these indicators is necessary to ascertain whether the incidence of COVID-19 is significantly influenced by changes in testing strategies. The indicators described in this study will be an asset for the optimization of testing strategies, allocation of healthcare resources to the communities that are most vulnerable to severe morbidity and assessing vaccination impact. As such, surveillance systems based on clinical data will be a valuable complementary tool to SINAVE. CONCLUSION: The indicators under analysis could be used regularly, with special attention to viral pneumonias, to detect outbreaks of COVID-19. Information on pneumonia of unknown etiology may be considered in the surveillance of COVID-19.

Introdução: A vigilância sindrómica permite a identificação precoce de alterações no padrão de morbilidade da população. Este estudo tem como objetivo avaliar a utilidade de indicadores relativos a cuidados de saúde primários e hospitalares, na vigilância da COVID-19.Material e Métodos: Foi realizada uma análise de séries temporais utilizando a taxa de incidência semanal de COVID-19 em Portugal Continental, entre as semanas 14/2020 (30 março a 05 abril) e 25/2020 (15 a 21 junho), e seis indicadores: 1) consultas em cuidados de saúde primários por COVID-19; 2) número de episódios de urgência por COVID-19; 3) número de episódios de urgência por pneumonia vírica; 4) número de internamentos por pneumonia vírica; 5) proporção de episódios de urgência por pneumonia vírica face ao total de episódios de urgência por pneumonia; e 6) proporção de internamentos por pneumonia vírica face ao total de internamentos por pneumonia. Foram calculadas correlações de Pearson e correlações cruzadas.Resultados: Foi encontrada uma correlação forte entre a taxa de incidência semanal de COVID-19 e todos os indicadores [(1) 0,76; (2) 0,82; (3) 0,77; (4) 0,84; (5) 0,86; e (6) 0,90]. Os episódios de urgência e internamento por pneumonias víricas detetam variações na frequência da doença, com uma semana de antecedência. As consultas em cuidados de saúde primários e urgências por COVID-19 registam uma semana de atraso relativamente à evolução da taxa de incidência. A proporção de pneumonias víricas face ao número de pneumonias em episódios de urgência, ou internamentos, encontra-se alinhada temporalmente com a evolução da taxa de incidência semanal de COVID-19.Discussão: O atraso encontrado no padrão de evolução de consultas em CSP, e de episódios de urgência por COVID-19 face à incidência de COVID-19, poderá estar relacionado com a reorganização dos serviços de saúde e criação de códigos específicos para estas consultas. Episódios de urgência e internamentos por pneumonia vírica poderão ser úteis para a deteção precoce de possíveis surtos de COVID-19. Pneumonias víricas poderão ter sido classificadas como pneumonias de causa indeterminada. A monitorização futura destes indicadores é necessária de modo a averiguar se a incidência de COVID-19 é influenciada significativamente por alterações na estratégia de testagem. Os indicadores deste trabalho serão uma mais valia para a adequação de estratégias de testagem, alocação de recursos de saúde a comunidades mais vulneráveis à morbilidade severa e avaliação de programas de vacinação. Como tal, os sistemas de vigilância com base em registos de saúde serão um complemento valioso ao SINAVE.Conclusão: Sugere-se que os indicadores em análise sejam utilizados de forma regular, com especial atenção à informação relativa a pneumonias víricas, como forma de detetar precocemente surtos de COVID-19. A informação relativa a pneumonias de causa indeterminada poderá ser considerada na monitorização da COVID-19.

The federal spending power: Building forward after the pandemic.

The phrase, "the federal spending power," identifies the federal government's ability to spend in areas beyond its constitutional authority to legislate-a power that has supported the development of a national system of universal healthcare coverage in Canada. Even before the COVID-19 pandemic, this power was critical to the expansion of Canada's narrow but deep basket of universally covered services. The challenges exposed by the pandemic mean that still more federal investment will be required. Yet for traditionalists, the material basis of this power is now constrained: the federal government may possess the constitutional authority to invest, but it lacks the fiscal capacity; some form of belt tightening-even austerity-will be necessary. As debates over public spending intensify, health leaders will need to address these questions. Depending on how they do so, health leaders will either support or detract from a healthy recovery.

Variations in volume of emergency surgeries and emergency department access at a third level hospital in Milan, Lombardy, during the COVID-19 outbreak.

BACKGROUND: During the recent outbreak of COVID-19 (coronavirus disease 2019), Lombardy was the most affected region in Italy, with 87,000 patients and 15,876 deaths up to May 26, 2020. Since February 22, 2020, well before the Government declared a state of emergency, there was a huge reduction in the number of emergency surgeries performed at hospitals in Lombardy. A general decrease in attendance at emergency departments (EDs) was also observed. The aim of our study is to report the experience of the ED of a third-level hospital in downtown Milan, Lombardy, and provide possible explanations for the observed phenomena. METHODS: This retrospective, observational study assessed the volume of emergency surgeries and attendance at an ED during the course of the pandemic, i.e. immediately before, during and after a progressive community lockdown in response to the COVID-19 pandemic. These data were compared with data from the same time periods in 2019. The results are presented as means, standard error (SE), and 95% studentized confidence intervals (CI). The Wilcoxon rank signed test at a 0.05 significance level was used to assess differences in per-day ED access distributions. RESULTS: Compared to 2019, a significant overall drop in emergency surgeries (60%, p < 0.002) and in ED admittance (66%, p ≅ 0) was observed in 2020. In particular, there were significant decreases in medical (40%), surgical (74%), specialist (ophthalmology, otolaryngology, traumatology, and urology) (92%), and psychiatric (60%) cases. ED admittance due to domestic violence (59%) and individuals who left the ED without being seen (76%) also decreased. Conversely, the number of deaths increased by 196%. CONCLUSIONS: During the COVID-19 outbreak the volume of urgent surgeries and patients accessing our ED dropped. Currently, it is not known if mortality of people who did not seek care increased during the pandemic. Further studies are needed to understand if such reductions during the COVID-19 pandemic will result in a rebound of patients left untreated or in unwanted consequences for population health.

Assessment of basic reproductive number for COVID-19 at global level: A meta-analysis.

BACKGROUND: There are large knowledge gaps regarding how transmission of 2019 novel coronavirus disease (COVID-19) occurred in different settings across the world. This study aims to summarize basic reproduction number (R0) data and provide clues for designing prevention and control measures. METHODS: Several databases and preprint platforms were retrieved for literature reporting R0 values of COVID-19. The analysis was stratified by the prespecified modeling method to make the R0 values comparable, and by country/region to explore whether R0 estimates differed across the world. The average R0 values were pooled using a random-effects model. RESULTS: We identified 185 unique articles, yielding 43 articles for analysis. The selected studies covered 5 countries from Asia, 5 countries from Europe, 12 countries from Africa, and 1 from North America, South America, and Australia each. Exponential growth rate model was most favored by researchers. The pooled global R0 was 4.08 (95% CI, 3.09-5.39). The R0 estimates for new and shifting epicenters were comparable or even higher than that for the original epicenter Wuhan, China. CONCLUSIONS: The high R0 values suggest that an extraordinary combination of control measures is needed for halting COVID-19.